Head of Data Science (Identity & Compliance)

Join Socure, a leading provider of AI-powered identity verification and compliance solutions. As the Head of Data Science for Identity & Compliance, you will lead the data science function across core products, drive innovation in machine learning and graph intelligence, and partner closely with cross-functional teams to deliver scalable AI solutions. This is a remote position with a comprehensive benefits package.

• Lead the Data Science function across core identity and compliance products, including KYC, International KYC, Global Watchlist, Advanced Prefill, and Identity Graph.
• Define the technical vision and execution strategy for identity at scale, pushing the boundaries of machine learning, graph intelligence, and autonomous systems.
• Own and drive the data science vision for Identity & Compliance, delivering measurable improvements in accuracy, coverage, latency, and customer impact across all products in scope.
• Significant experience in identity verification, KYC/AML, fraud detection, or risk modeling in fintech or adjacent domains
• Demonstrated ability to drive ambiguous, high-impact problems to production, balancing speed, rigor, and business outcomes
• Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related field
• Deep expertise in modern machine learning techniques, including deep learning, graph neural networks, entity resolution, and large-scale data systems
• Hands-on experience with Apache Spark and large-scale distributed data systems
• Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred
• Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents
• 10+ years of experience in data science and machine learning, with a strong track record of delivering production-grade AI systems at scale
• Proven leadership experience managing and scaling high-performing data science teams
• Strong experience working with heterogeneous data sources, including structured data, text, network/graph data, and third-party identity signals
• Proficiency in Python and modern ML frameworks (e.g., PyTorch), and familiarity with graph ML frameworks is a plus
• Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences